Language Transliteration with LSTM Encoder-Decoder Model

It's a fact that humans are social creatures and, in their life, they love to communicate their family and musketeers. Communication is a veritably necessary thing in moment's life. Communication can be of colorful types, like drooling, news, announcements, etc. Whenever we talk on Faceboo...

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Vydáno v:2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) s. 188 - 192
Hlavní autoři: Mittal, Pratham, Garg, Kartik
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 16.12.2022
Témata:
Blogs
Computational modeling
Freeware
Internet telephony
Machine Learning
Mobile Messaging
Natural Language Processing
Process control
Social networking (online)
translation
transliteration
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Shrnutí:It's a fact that humans are social creatures and, in their life, they love to communicate their family and musketeers. Communication is a veritably necessary thing in moment's life. Communication can be of colorful types, like drooling, news, announcements, etc. Whenever we talk on Facebook, WhatsApp, or Twitter we've seen that people aren't veritably particular about expressing themselves in pure Hindi and pure English, but they tend to mix them up which troubles to a lot of people. Also, occasionally happens that people can not figure out what to write in a formal way. So, we then are making a platform which will convert their mixed English and Hindi language to pure Devanagari form. Which will help them to make a better discussion and help them to increase their cling. To make this be we've made a dataset of English and Hinglish words each defined whether its English or Hindi in front of them and their Devanagari conversion of each. In this way, people can express themselves more freely and directly.
DOI:10.1109/ICAC3N56670.2022.10074084